Advances in Database Technology - EDBT 2006

Advances in Database Technology - EDBT 2006
Author: Yannis Ioannidis
Publisher: Springer
Total Pages: 1224
Release: 2006-03-10
Genre: Computers
ISBN: 3540329617

This book constitutes the refereed proceedings of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany, in March 2006. The 60 revised research papers presented together with eight industrial application papers, 20 software demos, and three invited contributions were carefully reviewed and selected from 352 submissions. The papers are organized in topical sections.

New Publications

New Publications
Author: United States. Bureau of Mines
Publisher:
Total Pages: 648
Release: 1982
Genre: Mineral industries
ISBN:

Advances in Spatial and Temporal Databases

Advances in Spatial and Temporal Databases
Author: Thanasis Hadzilacos
Publisher: Springer
Total Pages: 541
Release: 2003-10-23
Genre: Business & Economics
ISBN: 3540450726

The refereed proceedings of the 8th International Symposium on Spatial and Temporal Databases, SSTD 2003, held at Santorini Island, Greece in July 2003. The 28 revised full papers presented together with a keynote paper were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on access methods, advanced query processing, data mining and data warehousing, distance-based queries, mobility and moving points management, modeling and languages, similarity processing, systems and implementation issues.

New Developments in Unsupervised Outlier Detection

New Developments in Unsupervised Outlier Detection
Author: Xiaochun Wang
Publisher: Springer Nature
Total Pages: 287
Release: 2020-11-24
Genre: Technology & Engineering
ISBN: 9811595194

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and density-based outlier detection in particular; and the applications of the latest findings to boundary point detection and novel object detection. The book also offers a new perspective on bridging the gap between k-nearest neighbor-based outlier detection and clustering-based outlier detection, laying the groundwork for future advances in unsupervised outlier detection research. The authors hope the algorithms and applications proposed here will serve as valuable resources for outlier detection researchers for years to come.